Issue 01 — April 2026
The shortlist of AI agents for builders.
AI coverage is mostly slop: vendor demos, influencer takes, listicles padded with affiliate links. We test the way builders actually work. The only question we care about: does this generate real value?
Why Agent Shortlist exists
Most AI coverage is influencer slop. We write for builders who ship.
01
We test until they break
Every tool we cover gets put through real workflows until something breaks. We document the breakage. Vendor demos don't count as evidence.
02
We name names
No 50-tool listicles. No affiliate-padded rankings. No sponsored content dressed as editorial. We pick a winner and tell you why. If a tool is hyped but broken, we say so. If we're wrong, we publish the correction.
03
Value is the metric
Revenue. Time saved. Productivity gains. The only question we ask of any tool: does it actually generate value? Not engagement, not impressions, not vibes. Real value, in production.
Common questions about AI agents
What builders ask before they pick a platform.
What are AI agents?
AI agents are software that uses AI to take actions, not just answer questions. A chatbot tells you how to draft an email; an AI agent drafts it, finds the contact details, sends it, and logs the activity in your CRM. The underlying language model is often the same — what's different is the layer that connects the AI to your tools, your data, and your workflows.
How much do AI agents cost?
Two layers: platform cost and model cost. Platform costs range from free (open-source) to $19-$199/month (no-code SaaS) to enterprise contracts. Model costs are per-token API charges — typically $20-$300 per month for a moderate-volume builder workflow. Use the AI Agent Cost Calculator to see exact numbers for your specific use case.
Which AI agent is the best?
Depends on what you're building. Lindy is the best no-code platform. n8n is the best workflow builder. Claude Code is the highest-leverage tool most builders already pay for. OpenClaw is the strongest open-source harness. The five-question Agent Picker asks the right questions and matches you to one of fifteen platforms we've tested.
How do AI agents work?
AI agents combine three layers. First, a language model (Claude, GPT-5, Gemini) does the reasoning. Second, a harness gives the model access to tools — the ability to read email, browse websites, run scripts, query databases. Third, a workflow layer decides when the agent runs, what it does, and when to escalate to a human. The platform you choose determines how each of those layers works.
Are AI agents safe to use with company data?
Depends on the deployment. Open-source agents running on your own servers don't send data to a third party beyond the AI model API you choose. SaaS platforms process and store your data on their infrastructure — check their data processing agreements, especially for customer PII or proprietary business data. For regulated industries, verify SOC 2 compliance and data residency before deploying anything customer-facing.